Data Security vs Data Integrity

Data Security vs Data Integrity

• Data security protects data from unauthorized access, allowing only approved users to view and manipulate information.
• Data integrity ensures data accuracy and consistency, upholding data quality through defined rules and procedures.
• Data security focuses on protecting data from corruption through controlled access, while data integrity focuses on the validity and wholeness of the data.
• Data security aims to ensure only authorized users can access data, while data integrity ensures data correctness and absence of corruption.
• Data security utilizes authentication and authorization, masking, and encryptions to protect data, while data integrity relies on backups, error detection, user interface design, and data correction.
• Data security focuses on the physical protection of data against accidental or intentional loss or misuse, while data integrity centers on logical protection, ensuring data accuracy, completeness, and consistency.
• Data security prevents unauthorized access, while data integrity prevents human errors during data entry.
• Data security can be implemented through user accounts with passwords, authentication schemes, while data integrity is enforced through rules such as primary keys, foreign keys, and relationship constraints.

Domain Constraints

• Domain constraints define allowable values for an attribute in a table.
• A domain constraint is a user-defined data type, combining data types with constraints like NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK, and DEFAULT.

Referential Integrity

• Referential integrity ensures consistent relationships between tables within a database.
• Primary keys, uniquely identifying data in a table, can be referenced as foreign keys in other tables, creating dependencies between them.
• Foreign keys establish relationships between tables, allowing data changes or deletions in one table to affect data in related tables through a hierarchy of dependencies.